Senior Data Engineer

Job not on LinkedIn

🕒 February 25

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 48%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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GenLogs

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2023

💼 Consulting

🛡️ Insurance

📣 Marketing

Consulting • Insurance • Marketing

GenLogs is a Truck Intelligence SaaS platform that aggregates roadside sensors, satellite imagery, license-plate and vehicle-marking recognition, and millions of additional data points to deliver ground-truth, real-time visibility on motor carriers and commercial vehicles across the U. S. The platform is aimed at brokers, shippers, insurers, and law enforcement, and is used for carrier sourcing and vetting, compliance and fraud detection, underwriting and claims investigation, and locating and recovering stolen assets without relying solely on FMCSA or self-reported data.

📋 Description

• Build and maintain ETL/ELT pipelines using Python and SQL • Develop ingestion workflows with AWS Firehose , S3, and related services • Create and optimize dbt models, tests, and incremental logic • Tune Snowflake queries and warehouse usage for cost and performance • Operate and improve Airflow DAGs for reliable execution and monitoring • Maintain high data quality, data integrity, and pipeline SLA commitments • Bring clarity to ambiguous requirements and propose practical solutions • Lead data engineering best practices and influence architectural decisions • Drive projects independently, from definition to delivery • Collaborate with engineering, analytics, and ML teams to support shared goals • Build feature pipelines to support ML workflows • Support model deployment, monitoring, and automated retraining • Add data validation and quality checks across ML and analytics pipelines

🎯 Requirements

• 5+ years of experience in data engineering or software engineering • Strong Python and SQL skills • Hands-on experience with Snowflake , AWS Firehose/S3 , Airflow , and dbt • Ability to work independently and execute in a dynamic environment • Strong problem-solving skills and attention to detail • Experience with geospatial data (e.g., spatial joins, geometry processing, or geospatial libraries) (preferred) • Experience with ML or MLOps pipelines (preferred) • Knowledge of Snowflake streams, tasks, and performance tuning (preferred) • Experience with large-scale or semi-structured datasets (preferred)

🏖️ Benefits

• Healthcare (US based only) • Employer-covered comprehensive medical, dental, and vision plans • Employer contribution towards premiums of optional higher-end plans • Unlimited PTO • Sick leave • Company holidays (GenLogs observes all US Government holidays) • Flexible leave for caregiving and medical needs • Paid parental leave • Budget availability for approved professional development courses, certifications, and training • 100% travel reimbursement for all approved company travel and spending • 401(k) plan (US based employees)